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SRE - Observability and Automation

A leading high-frequency trading firm is seeking a mid to senior-level Site Reliability Engineer with deep Kubernetes experience to join their Infrastructure team in Chicago focusing on observability and automation. The position offers flexible work arrangements with 3 days in office.

The Infrastructure team provides scalable on-premises cloud and application orchestration services for trading desks, data scientists, and enterprise application teams enabling teams to focus on their business objectives by providing simple, scalable solutions using off-the-shelf tools and the right amount of focused engineering. The role involves working cross-functionally to successfully onboard applications and services to the Kubernetes infrastructure while providing ongoing support and continuous improvement to existing toolchains.

What you'll do:

• Own and improve patterns, processes, and standards for migrating applications to the Kubernetes platform
• Work with different teams to ensure successful onboarding of applications into Kubernetes environment, and promote the platform with demos, lightning talks, and presentations
• Relentlessly automate repetitive manual tasks

Your background:

• Multiple years of Kubernetes and Linux operations experience
• Working knowledge of networking fundamentals
• Experience automating deployments and image builds using CI/CD pipelines and a variety of languages
• Familiarity with AWS managed services (EKS, S3, EC2, etc.)
• A service-focused attitude: asking questions and focusing on getting the right resources and solutions to people instead of rigid boundaries
• Strong written and verbal communication skills
• Experience with Flux, Fluent Bit/Fluentd, Prometheus, Ingress-Nginx, Cilium, Terraform/Terragrunt
• Experience developing, deploying, and supporting full-stack web applications
• Experience with multiple programming languages in both greenfield development and legacy maintenance

This position offers competitive compensation and an opportunity to work with cutting-edge technologies driven by AI and ML environments that are also dynamic and collaborative.